Artificial intelligence and automation have fundamentally and profoundly changed the way we work and Live. This is true for Agile teams. It has changed the way they collaborate, learn and improve as well as the tools used. BOTs are taking Agile management tools to the next level.

This session focused on four key learnings:

• Understand the evolution of Agile management tools and the impact of artificial intelligence and BOTs.
• Discover how these emerging BOTs help Agile teams to achieve more.
• Study the current state of Agile and the usefulness of AI on its future state.
• Inspire participants to accomplish more leveraging AI and be future ready by contributing in business transformation.

Applying Agile is a mindset change rather than a process change as compared to traditional methods. Some of the typical challenges faced by teams in the Industry while practicing Agile are:

• Limited experience with agile
• Slowing down of work due to limited access to Product Owner
• Incomplete\less detailed user stories leading to high onshore dependency
• Struggle to keep momentum with continuous churn of agile events through active participation and to maintain quality of artifacts (backlog, burndown, impediment list, retrospective action log)

These challenges manifold when delivery teams within the Industry are practicing distributed agile at scale. In the last couple of years within the IT industry we are seeing the infusion of Artificial Intelligence (AI). The question which come up is, Can AI help to address some of the above challenges?

At Accenture, we have introduced virtual Agile agent that resides in our intelligent automation platform, Accenture myWizard®; The virtual agent uses set of AI technologies to collaborate with their human co-workers to help address above mentioned challenges. It monitors numerous aspects of Agile development projects—consisting of requirements, releases, metrics and resources—alerting the team of any potential issues and providing possible solutions.

According to Gartner, it is estimated that by year 2030, up to 80% of routine work — which represents the bulk of human hours expended across today’s PPM disciplines — could be eliminated as a result of collaboration between humans and smart machines. Similarly, by year 2030 Agile would have become standard delivery method adopted by organizations across the globe. It means there is very high probability of activities that Scrum Master, Product Owner and the team which are doing today will be automated or will be done managed by smart machines.

AI will play significant role to automate most of the activities involved in the areas of Agile requirement/backlog management, project management, scrum management & continuous delivery areas. Bots and AI will be extensively used to achieve this and thus enabling team to focus on other high value innovation activities.

In this proposed Session, we will help participants to familiarize with industry standard AI maturity levels and popular Machine Learning methods and how to apply them to Agile delivery processes with real world solutions. Solutions include automating routine tasks through to providing concrete, data-driven insights to improve team performance or to identify areas which calls for Agile coach’s attention.

According to Gartner, it is estimated that by year 2030, up to 80% of routine work — which represents the bulk of human hours expended across today’s PPM disciplines — could be eliminated as a result of collaboration between humans and smart machines. Similarly, by year 2030 Agile would have become standard delivery method adopted by organizations across the globe. It means there is very high probability of activities that Scrum Master, Product Owner and the team which are doing today will be automated or will be done managed by smart machines.

AI will play significant role to automate most of the activities involved in the areas of Agile requirement/backlog management, project management, scrum management & continuous delivery areas. Bots and AI will be extensively used to achieve this and thus enabling team to focus on other high value innovation activities.

In this proposed workshop, we will help participants to familiarize with industry standard AI maturity levels and popular Machine Learning methods and how to apply them to Agile delivery processes with real world solutions. Solutions include automating routine tasks through to providing concrete, data-driven insights to improve team performance or to identify areas which calls for Agile coach’s attention.

The workshop will adopt case study based role play approach which will guide participants to apply their newly acquired AI knowledge to identify potential areas for deployment of Automation and AI.

Disclaimer: This Workshop Proposal has been submitted for participation purposes only and is not intended to serve as advice of any nature whatsoever. This Workshop Proposal also contains certain information available in public domain, created and maintained by private and public organizations. The Workshop Proposal is the property of Accenture and its affiliates and Accenture be the holder of the copyright or any intellectual property over the news release. No part of this document may be reproduced in any manner without the written permission of Accenture. Opinions expressed herein are subject to change without notice.